Complexity and Artificial Markets

In recent years, agent-based simulation has become a widely accepted tool when dealing with complexity in economics and other social sciences. The contributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decision ma...

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Bibliographic Details
Other Authors: Schredelseker, Klaus (Editor), Hauser, Florian (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2008, 2008
Edition:1st ed. 2008
Series:Lecture Notes in Economics and Mathematical Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Market Mechanisms
  • Zero-Intelligence Trading Without Resampling
  • Understanding the Price Dynamics of a Real Market Using Simulations: The Dutch Auction of the Pescara Wholesale Fish Market
  • Market Behavior Under Zero-Intelligence Trading and Price Awareness
  • Evolution and Decision Making
  • Evolutionary Switching between Forecasting Heuristics: An Explanation of an Asset-Pricing Experiment
  • Prospect Theory Behavioral Assumptions in an Artificial Financial Economy
  • Computing the Evolution of Walrasian Behaviour
  • Multidimensional Evolving Opinion for Sustainable Consumption Decision
  • Information Economics
  • Local Interaction, Incomplete Information and Properties of Asset Prices
  • Long-Term Orientation in Trade
  • Agent-Based Experimental Economics in Signaling Games
  • Methodological Issues
  • Why do we need Ontology for Agent-Based Models?
  • Production and Finance in EURACE
  • Serious Games for Economists
  • Invited Speakers
  • Computational Evolution
  • Artificial Markets: Rationality and Organisation